Conversational AI using transformer models

Seoul AI Summit 2020

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Conversational AI with transformer models

DataBricks Data + AI Summit North America Chapter 2021

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Data Scientist

Walmart Global Tech

Bangalore, India

2021 - 2020

Project:Build Continuous Model Monitoring

• Solution: Generate model diagnsotics reports and dashboards to identify anomalous/unexpected performance of models in the system. And also create triggers to create a JIRA ticket whenever the performance of a model is subpar
• Benefit: The solution helped in identifying the data drift and model drift

Project: Intent Classification

• Business problem: Improve associate experience while using chatbot
• Solution: Build classifiers by finetuning DistilBERT embeddings for intent classification
• Benefit: The solution improved the chatbot in identifying the intent of the user

Project: Optimization of bags usage at Walmart stores

• Solution: Use bin packing algorithms to identify optimal bags to be used at store checkout counters
• Benefit: The solution helped in identifying the stores with high over-usage of bags and keep on check on the same

Project: Curation of Associate Ideas using NLP

• Solution: Building a system to filter and group high quality ideas using topic modeling on S-BERT embeddings of user ideas
• Benefit: The solution will make sure that the higher management gets high quality distinct ideas that can further reviewed for implementation

Data Scientist

Actify Data Labs

Bangalore, India

2020 - 2018

Project: Crop Classification using Satellite Imagery

• Business problem: Classification of various crops using Satellite Imagery
• Solution: Built a pipeline to create spectral indices using satellite images, create features on top of the spectral indices, train models and score the models on new satellite images
• Benefit: Reduced huge number of man-hours taken to identify and geospatial labeling of crops across various regions in the country. Manual geolabelling of crops for each district takes around 4-5 man hours. Reduced it down to less than 1 hour without compromising precision and recall

Product Engineering and Management: Interactive Decision Tree

• Developed an interactive drag and drop decision tree tool for segmentation of data for business users. The features include delete, add, cut and copy a subtree from the tree and export the rules to segment the data
• Conceptualized, designed and developed the complete product module including algorithm design, UI design and scalability for larger data
• The product is sold to one of the cab sharing unicorn in the country

Analytics Specialist

Opera Solutions

Delhi, India

2018 - 2017

Project: Revenue Management

• Problem: Identification of revenue leakage during billing for US healthcare providers.
• Solution: Development of an ensemble of Random Forest and Logistic Regression to identify potential revenue items that are missing from a given bill and provide recommendations to the front line accounts.
• Benefit: More than 85 % of the recommendations were correct in identifying missed bill items. This led to significant revenue enhancement for the health care providers.

Analyst

Cognizant Technology Solutions

Chennai, India

2017 - 2016

Project: Ad-Viewership Analytics

• Problem: Estimation of ad spend effectiveness for a major US telecom giant.
• Solution: Built data pipelines to curate, consolidate and process ad-viewership data across all viewing channels

Bachelor’s and Master’s

IIT Bombay

Bombay, India

2016 - 2011

• Energy Science and Engineering. GPA 8.04/10